A wind forecast error cost included OPF model and its fast algorithm

Author

Yingyun Sun ; Yue Guo ; Rui Mao ; Malik, Sarmad M.

Author_Institution

State Key Lab. of Alternative Electr. Power Syst. with Renewable Energy Resources, North China Electr. Power Univ., Baoding, China

fYear

2014

fDate

27-31 July 2014

Firstpage

1

Lastpage

5

Abstract

The power output uncertainty brought by large scale concentration and the remote access of wind power causes great challenges to power grid scheduling and operation. To deal with such an uncertainty problem, the paper proposes a concept of wind power forecast error cost and establishes an OPF model which takes the cost of wind power forecast error into account (WFECI-OPF). To reduce calculation burden of stochastic simulation, the paper proposes a rapid approximate algorithm. Simulation examples based on IEEE 30-bus system validate that the proposed method has high accuracy and fast calculation speed, and it can meet the requirements of engineering applications.

Keywords

IEEE standards; power generation scheduling; power grids; wind power plants; IEEE 30-bus system; OPF model; fast algorithm; large scale concentration; power grid operation; power grid scheduling; power output uncertainty; rapid approximate algorithm; stochastic simulation; wind forecast error cost; wind power; Approximation algorithms; Load flow; Predictive models; Uncertainty; Wind forecasting; Wind power generation; Optimal power flow; forecast error cost; wind power integration;

fLanguage

English

Publisher

ieee

Conference_Titel

PES General Meeting | Conference & Exposition, 2014 IEEE

Conference_Location

National Harbor, MD

Type

conf

DOI

10.1109/PESGM.2014.6938928

Filename

6938928